iPhone18,4
Geekbench AI Score
5110
Single Precision Score
35590
Half Precision Score
48592
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | November 26 2025 04:04 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone18,4 |
| Model ID | iPhone18,4 |
| Motherboard | D23AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2330
433.4 IPS |
|
|
Image Classification (HP)
|
100% |
15674
2.91 KIPS |
|
|
Image Classification (Q)
|
97% |
21372
3.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19526
316.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24904
403.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10423
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
158559
185.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
298825
350.2 IPS |
|
|
Object Detection (SP)
|
100% |
2588
205.3 IPS |
|
|
Object Detection (HP)
|
100% |
17432
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24483
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
4423
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
41143
488.9 IPS |
|
|
Face Detection (Q)
|
100% |
51412
610.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8534
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
101857
784.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
164287
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24843
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
258607
332.4 IPS |
|
|
Style Transfer (Q)
|
96% |
350979
452.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5444
201.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55774
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85629
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3551
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6620
8.84 KIPS |
|
|
Text Classification (Q)
|
93% |
6464
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5013
86.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9635
166.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11487
198.5 IPS |
